Q9EYZ5 AF NFT

RNA-binding protein Hfq

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifyzqy7hasgmart3a37tylkqggh7xfgkznaur35sy3of5wtemgq5m/metadata.json
IPFS of structure file: 
bafybeigvarwgee2q36jpvequzostpfmm3uir4ecldqth4kabat2h5n6zfa/AF-Q9EYZ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8c3620A532877ca1BDf102CC1189355ACB69dc82
First NFT owner address (bech32): 
genesis13smzpffjsa72r003qtxprzf4tt9knhyzq4d7lt
Current NFT ID #169004 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
169004
Accession (UniProt):
Q9EYZ5
Name::
RNA-binding protein Hfq
Experimental Method:
Predicted structure
Sequence source:
Photobacterium profundum (strain SS9)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q9EYZ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9EYZ5|HFQ_PHOPR RNA-binding protein Hfq OS=Photobacterium profundum (strain SS9) OX=298386 GN=hfq PE=3 SV=4 MAKGQSLQDPFLNALRRERIPVSIYLVNGIKLQGQIESFDQFVILLKNTVNQMVYKHAISTVVPARPVNHHHASDRPATLEKTEE